Senior Neuroengineer at IOTA BIOSCIENCES INC
Alameda, CA 94501, USA -
Full Time


Start Date

Immediate

Expiry Date

23 Nov, 25

Salary

165000.0

Posted On

23 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Biomedical Engineering, Neuroscience, Python, Imaging Software, Signal Processing, Time Management, Neuromodulation, Matlab, Machine Learning, Data Science, Medical Devices

Industry

Hospital/Health Care

Description

ABOUT US:

iota Biosciences, a wholly owned subsidiary of Astellas Pharma US, is advancing a new class of bioelectronic medicines through the development of fully implantable Class III medical devices. Our proprietary technologies opens therapeutic and diagnostic possibilities not previously accessible to clinicians.
We are currently focused on two programs: a first-of-its-kind neural interface which will transform recovery after stroke and pioneering direct bladder stimulation therapy for underactive bladder.
Together with Astellas, we are committed to patient-centric design, scientific and engineering excellence, and cross-functional teamwork. These principles guide us in bringing transformative, first-of-its-kind neurotechnologies into the clinic and closer to patients. For this role, you will join the team driving cutting-edge neurotechnology—helping to shape the design, development, and clinical translation of a first-of-its-kind neural interface system.

JOB SUMMARY

We are seeking an innovative Senior Neuroengineer to join our multidisciplinary team focused on developing clinically impactful, cutting-edge neural interfaces. In this role, you will guide the design and execution of preclinical studies while shaping therapeutic strategies through expert insight in neuromodulation and neural sensing. Your contributions will help drive the development of advanced neurotechnologies that improve patient outcomes and push the boundaries of neural engineering.

KEY QUALIFICATIONS

  • Ph.D. in biomedical engineering, electrical engineering, neuroscience, or related technical field
  • In-vivo clinical or large-animal preclinical research experience in neural decoding and/or neuromodulation
  • Expertise in bioelectronic medicine techniques and theory (e.g., neuromodulation, neural recordings, neural signal processing)
  • Proficiency in Python or MATLAB and common libraries used in signal processing, data science, and machine learning (e.g., NumPy, SciPy, pandas, scikit-learn)
  • Proficiency with medical imaging software for quantitative analysis of CT and MRI data (e.g., 3D Slicer)

PREFERRED QUALIFICATIONS

  • Experience working with implanted medical devices
  • Experience working in an industry research and development setting
  • Experience leading large-animal preclinical studies
  • Willingness and ability to quickly learn new technical, clinical, and scientific topics related to the project at hand
  • Experience working in interdisciplinary environments and managing technical activities
  • Excellent organizational, time-management, and communication abilities
  • Ability to work independently in a fast-paced environment
  • Excited to embrace a collaborative and innovative team mindset
    Compensation Range: $134K - $165

How To Apply:

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Responsibilities
  • Design and execute large-animal preclinical studies, ensuring alignment with product development, regulatory strategy, and innovation goals.
  • Support and validate algorithms for real-time neural decoding using advanced signal processing, feature extraction, and machine learning techniques
  • Assess key safety and performance criteria for implanted medical devices used in neural stimulation and sensing applications.
  • Collaborate with an interdisciplinary team to guide the development of neural interface therapies, serving as a subject matter expert in neuroscience and/or neuroengineering.
  • Collaborate with engineers, neuroscientists, clinicians, and regulatory teams to translate findings into clinical-ready protocols.
  • Prepare clear, well-organized documentation and presentations of study results and other research findings to inform cross-functional teams and support data-driven decision making.
  • Support document generation in coordination with Quality and Regulatory functions as needed.
  • This role will require 25% travel both domestic and international.
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